An 'electronic tongue' that can identify the taste of food has been developed
A research team at Pennsylvania State University has developed an electronic tongue that can recognize the taste of food. The electronic tongue is made up of a sensor that detects chemicals contained in food and an AI that guesses the type of food based on the sensor's detection results, and it can guess the type of food with 80% accuracy.
Robust chemical analysis with graphene chemosensors and machine learning | Nature
A matter of taste: Electronic tongue reveals AI inner thoughts | Penn State University
https://www.psu.edu/news/research/story/matter-taste-electronic-tongue-reveals-ai-inner-thoughts
Researchers design a graphene-based 'electronic tongue' that detects liquid differences, spoilage, and food safety with AI accuracy | Graphene-Info
https://www.graphene-info.com/researchers-design-graphene-based-electronic-tongue-detects-liquid-differences
The electronic tongue was developed by a research team led by Saptarshi Das, a mechanical and electrical engineering researcher at Pennsylvania State University. As of 2023, the research team had developed a 'sensor to detect chemicals contained in food,' and announced an electronic tongue that utilized the research results of the sensor in October 2024.
Below is a 'sensor that detects chemicals contained in food'. The sensor is composed of a chemical sensor using graphene and a semiconductor using molybdenum disulfide, and can detect chemicals that affect taste such as sodium chloride. This sensor can respond to the basic elements of taste: 'sweetness', 'saltiness', 'sourness', 'bitterness' and 'umami'.
And below is the electronic tongue developed using the knowledge gained from the above sensor development. The part surrounded by the red frame is equipped with a 'sensor that detects chemicals contained in food,' and the taste can be identified by inputting the chemicals detected by the sensor into AI.
The electronic tongue can detect liquid samples by dropping liquid onto the sensor. The research team dropped samples of 'milk diluted with water,' 'various types of soda,' 'various types of fruit juice,' and 'coffee' onto the electronic tongue, and was able to identify the type of liquid with 80% accuracy.
According to Das, the electronic tongue could be applied not only to food but also to the medical field by modifying the AI's learning data.
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